36 search results - page 1 / 8 » Forward and Backward Selection in Regression Hybrid Network |
MCS
2002
Springer
13 years 4 months ago
2002
Springer
Abstract. We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm det...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
—we study dynamic routing and wavelength assignment scheme when there are any available wavelengths on a route in the wavelength-routed networks. An optical wavelength path reque...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— This paper considers the basis vector selection issue invloved in forward selection algorithms to sparse Gaussian Process Regression (GPR). Firstly, we re-examine a pre...
IWANN
2009
Springer
13 years 11 months ago
2009
Springer
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
SCFBM
2008
13 years 4 months ago
2008
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...